The need for deterministic virtualization in the industrial internet of things

Ruh, Jan; Steiner, Wilfried

doi:10.1145/3313150.3313222

Cited by 11 publications

(9 citation statements)

References 13 publications

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“…Hypervisors that fulfil all of the criteria for deterministic virtualization have been defined as a requirement [23].…”

Section: Related Workmentioning

confidence: 99%

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

Lin

2021

Scientific Programming

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With the revolution in Internet and digital technology, every organization is adopting digital things to carry out their day-to-day activities. Internet of Things (IoT) is a concept that is used to connect various devices over the Internet to increase the production and quality of service, deliver a huge amount of data in seconds, and automate the processes. IoT implementation in the health sector has changed the typical setup into smart and intelligent setup. With the “smart” and “Intelligent” abilities of IoT devices such as sensors and with the collaboration of humans and computers, physical processes can be monitored and, based on the received data, optimal decisions can ultimately be taken. IoT applications in healthcare will increase flexibility, patient’s care, quality of health, and control of diseases. As the IoT combines various heterogeneous devices and the inappropriate determination of the degree of characteristics for Internet of healthcare (IoH) devices may affect the efficiency of services, this research is carried out with the use of decision support system and application of fuzzy analytic network process (fuzzy ANP) was used for optimal determination of the degree of characteristics for IoH devices based on unique properties which would greatly increase the efficiency of industry. The experimental results are efficient and show the usefulness of the approach.

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“…Hypervisors that fulfil all of the criteria for deterministic virtualization have been defined as a requirement [23].…”

Section: Related Workmentioning

confidence: 99%

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

Lin

2021

Scientific Programming

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“…An example of a COTS multicore processor is the Intel Atom processor, which implements hardware virtualization extensions, such as Intel's VT-x and VT-d, second level address translation (SLAT), and single-root I/O virtualization (SR-IOV) [58]. The software component has a software stack that consists of a hypervisor, middleware, partitions with dedicated operating systems, and an application layer, as in Figure 7c.…”

Section: Fogified Drive Architecturementioning

confidence: 99%

Electric drives as fog nodes in a fog computing‐based industrial use case

Barzegaran

Desai

Qian

et al. 2021

The Journal of Engineering

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Electric drives, which are a main component in industrial applications, control electric motors and record vital information about their respective industrial processes. The development of electric drives as Fog nodes within a fog computing platform (FCP) leads to new abilities such as programmability, analytics, and connectivity, increasing their value. In this study, the FORA FCP reference architecture is used to implement electric drives as Fog nodes, which is called "fogification". The fogified drive architecture and its components are designed using Architecture Analysis and Design Language (AADL). The design process was driven by the high-level requirements that the authors elicited. Both the fogified drive architecture and the current drive architecture are used to implement a self baggage drop system in which electric drives are the key components. The fog-based design was then evaluated using several key performance indicators (KPIs), which reveal its advantages over the current drive architecture. The evaluation results show that safety-related isolation is enabled with only 9% overhead on the total Fog node utilization, control applications are virtualized with zero input-output jitter, the hardware cost is reduced by 44%, and machine learning at the edge is performed without interrupting the main drive functionalities and with an average 85% accuracy. The conclusion is that the fog-based design can successfully implement the required electric drive functionalities and can also enable innovative uses needed for realizing the vision of Industry 4.0. INTRODUCTIONIndustry 4.0 is an industrial revolution via digitalization that affects all industries and sectors. Digitization increases productivity, flexibility, and product quality. Moreover, it reduces time-to-market and supports mass-customization [1]. When machines become connected with each other, sensors, and actuators, they form the Industrial IoT (IIoT), which is expected to increase the global gross domestic product (GDP) value to USD 15 trillion by 2030 [2]. The convergence of Operational Technology (OT) and Information Technology (IT) drives this digital transformation [3]. However, OT and IT use different computation and communication technologies [3]. OT employs dedicated hardware and software to implement real-time and safety-critical applications that have stringent timing and dependabilityThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Samaniego, Espana, and Deters have presented an architecture that mixes dew computing to delivery of virtual resources at the edge level. Furthermore, a permission‐based blockchain protocol has combined to achieve security and reliability on edge networks.…”

Section: Review Of Selected Papersmentioning

confidence: 99%

A comprehensive and systematic review of the network virtualization techniques in the IoT

Ramakrishnan

Shabbir

Kassim

et al. 2020

Int J Communication

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Internet of Things (IoT) as one of the last technology in the network domain is an environment of associated physical objects that are reachable through the Internet. Virtualization as the primary technology of IoT has a significant role in its popularization. The visualization strategies have a great impact on the IoT, but, as far as we know, there is not a comprehensive and systematic study in this field. Also, there is no systematic and complete way to discuss and analyze the related strategies. Henceforth, a systematic survey of virtualization techniques is presented in this paper. Different parameters based on the examination of the prevailing methods are considered in three main categorizations. Furthermore, the benefits and weaknesses connected with selected techniques have been discussed, and the significant issues of these techniques are addressed to improve the more efficient virtualization technique for the future. K E Y W O R D SCloud, Fog, network, Internet of Things, systematic literature review, virtualization

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The need for deterministic virtualization in the industrial internet of things

Cited by 11 publications

References 13 publications

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

Electric drives as fog nodes in a fog computing‐based industrial use case

A comprehensive and systematic review of the network virtualization techniques in the IoT

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